fastrad GPU-native radiomics library hits 25x speedup
fastrad is a PyTorch-native library designed to overcome the CPU-only bottleneck of PyRadiomics, the current standard for radiomic feature extraction. It implements all 8 IBSI feature classes as native tensor operations, allowing for transparent device routing across CPU and CUDA.
This is a major efficiency boost for medical imaging pipelines, especially at scale. While radiomics is sometimes overshadowed by deep learning, its interpretability remains crucial in clinical research.
* Achieves 25x speedup over PyRadiomics on GPU.
* 100% IBSI-compliant, ensuring scientific validity.
* Open-source and PyTorch-native, facilitating integration into modern ML workflows.
DISCOVERED
59d ago
2026-03-30
PUBLISHED
59d ago
2026-03-30
RELEVANCE
AUTHOR
helloerikaaa
